Predicting the Prognosis of HIFU Ablation of Uterine Fibroids Using a Deep Learning-Based 3D Super-Resolution DWI Radiomics Model: A Multicenter Study.

Journal: Academic radiology
PMID:

Abstract

RATIONALE AND OBJECTIVES: To assess the feasibility and efficacy of a deep learning-based three-dimensional (3D) super-resolution diffusion-weighted imaging (DWI) radiomics model in predicting the prognosis of high-intensity focused ultrasound (HIFU) ablation of uterine fibroids.

Authors

  • Chengwei Li
    Department of Radiology, The Third People's Hospital of Chengdu, Chengdu, China.
  • Zhimin He
    School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University Tianjin 300350 P. R. China mwang@tju.edu.cn.
  • Fajin Lv
    Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Hongjian Liao
    Department of Radiology, The Third People's Hospital of Chengdu, Chengdu, China (C.L., H.L.).
  • Zhibo Xiao
    State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Yixueyuan Road, Yuzhong District, Chongqing, 400016, China. 5894526@qq.com.